Results 131 to 140 of about 3,693 (219)

Fluctuating Growth Rates Link Turnover and Unevenness in Species‐Rich Communities

Ecology Letters, Volume 29, Issue 2, February 2026.
Through a minimal model of ecological community dynamics, we explain how the interplay between environmental stochasticity, intra‐ and interspecific competition and dispersal relates to the maintenance of diversity, the commonness of rarity and compositional turnover.
Emil Mallmin, Arne Traulsen, Silvia De Monte   +2 more
wiley   +1 more source

Tolerable Constructive Graph-Based Hyper-Heuristic Algorithm For Examination Timetabling [PDF]

, 2009
Examination Timetabling Problem (ETTP) is an NP-hard typical optimization problem faced by institutions and universities across the world. This nature leads to heuristic methods cover a large branch of researches in this area.
Mohammad Pour, Shahrzad
core  

Local‐Hybrid Functional With a Composite Local Mixing Function Built From a Neural Network and a Strong‐Correlation Model

Journal of Computational Chemistry, Volume 47, Issue 3, 30 January 2026.
A new local hybrid functional, LH25nP, is reported, that uses a neural‐network local mixing function for the position‐dependence of exact‐exchange admixture trained with a human‐designed strong‐correlation factor. It thereby escapes the usual zero‐sum game between delocalization and static‐correlation errors.
Artur Wodyński, Martin Kaupp
wiley   +1 more source

A Survey of Solution Methodologies for Exam Timetabling Problems

IEEE Access
Exam timetabling is a prominent topic in academic administration management as it ensures the effective utilization of resources and satisfies the requirements and preferences of stakeholders, which leads to a productive academic environment ...
Emily Sing Kiang Siew, San Nah Sze, Say Leng Goh, Graham Kendall, Nasser R. Sabar, Salwani Abdullah   +5 more
doaj   +1 more source

HyFlex: A Flexible Framework for the Design and Analysis of Hyper-heuristics [PDF]

Despite the success of heuristic search methods in solving real-world computational search problems, it is often still difficult to easily apply them to new problems, or even new instances of similar problems.
Hyde Graham, Kendall Gabriela, Ochoa Sanja, Petrovic José Antonio   +3 more
core  

A Novel Hyper-Heuristic Algorithm for Bayesian Network Structure Learning Based on Feature Selection

Axioms
Bayesian networks (BNs) are effective and universal tools for addressing uncertain knowledge. BN learning includes structure learning and parameter learning, and structure learning is its core.
Yinglong Dang, Xiaoguang Gao, Zidong Wang   +2 more
doaj   +1 more source

Hybrid Graph Heuristics within a Hyper-heuristic Approach to Exam Timetabling Problems [PDF]

, 2005
This paper is concerned with the hybridization of two graph coloring heuristics (Saturation Degree and Largest Degree), and their application within a hyperheuristic for exam timetabling problems.
Burke, Edmund, Dror, Moshe, Petrovic, Sanja, Qu, Rong   +3 more
core  

A HYBRID METHOD FOR SOLVING TIMETABLING PROBLEMS BASED ON THE EVOLUTIONARY APPROACH

TASK Quarterly, 2007
Timetabling problems are often difficult and time-consuming to solve. Most of the methods of solving these problems are limited to one problem instance or class.
MACIEJ NORBERCIAK
doaj  

Hyper-heuristics for grouping problems

, 2020
Hyper-heuristics emerge as domain independent methodologies to solve hard computational search problems by performing search over the heuristics rather than directly solutions. One of the main goals of hyper-heuristic research is to support and investigate into the development of more general approaches applicable across different problem domains ...
openaire   +1 more source

Large neighborhood search and hyper-heuristics for the capacitated p-median problem. [PDF]

J Heuristics
Gjergji I, Kletzander L, Musliu N.
europepmc   +1 more source